Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Train machine learning models within Docker containers
Train machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and...
Write, check, index and diagram Z specifications in Microsoft Word.
Tools to allow Z specifications to be written in Microsoft Word. Includes a unicode font for Z symbols. Provides: WYSIWYG editing fully integrated into Word; Typechecking using fuzz (for Spivey Z) or CZT (for ISO standard Z); Indexing and cross-referencing; Diagrams of specification structure; Conversion from Spivey to Standard Z- also available as a stand-alone program and Java class for non-windows users.
This project offers a collection of resources that can be used to document object models in the Z language. This mainly consists in prelude files for z type checking and latex demo files that use it.